Data Management Strategies for the CIOEmail Alerts
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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
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Trends in entity resolution research and applications
guide
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Entity resolution trends: Identity resolution in information hubs
guide
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Dealing with association analysis, unstructured data in ER processes
guide
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Integrating information quality and entity resolution
guide
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Using the genetic programming approach to entity resolution
guide
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Challenges data modelers face with enterprise data modeling techniques
guide
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Limitations of entity relationship models in data modeling
guide
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Developing high-quality data models
guide
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Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics. Quiz
- See More: Essential Knowledge on Data warehouse software
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Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt | 02 May 2012
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Data warehousing appliance business case must trump traditional tools
Justifying purchases of data warehouse appliances starts with showing that they're a better business fit than conventional systems are, analysts say. News | 16 Apr 2012
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'Big data,' yes -- but enterprise data warehouse not dead yet
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction. News | 19 Mar 2012
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'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News | 16 Mar 2012
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TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage | 09 Mar 2012
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'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors | 29 Feb 2012
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Hadoop connector software hitches DBs to 'big data' clusters
Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases. News | 29 Feb 2012
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Categorizing 'big data' processing systems
In the past, analytics applications typically were powered by relational databases. Now the options are more varied and less straightforward, says TechTarget's Wayne Eckerson. Analysis | 27 Feb 2012
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Gartner Magic Quadrant names Teradata the top data warehouse vendor
Teradata is the overall leader among data warehouse software vendors, followed by Oracle, IBM and three others, says a Gartner Magic Quadrant report. News | 15 Feb 2012
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Appliances increasingly finding homes in data warehouse architectures
A growing number of companies are adopting data warehouse appliances, mostly to supplement existing systems. But some have gone all in on appliances. News | 14 Feb 2012
- See More: News on Data warehouse software
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Why IT departments should consider a large data warehouse system
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Book excerpt
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I've been a good data warehouse manager, Santa
Even data warehouse managers make holiday wishlists. Expert Rick Sherman shares a letter to Santa, with data warehouse-oriented wishes, hopes and desires for the coming year. Tip
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Data warehousing appliances: Are they market breakers?
Data warehousing (DW) appliances are being touted as potential market-changing technology by technology and financial analysts alike. Tip
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How to define business requirements for data warehousing projects
Using the Business Requirements Definition, the authors define the process of gathering business requirements, which begins with interviewing IT and business professionals, in order to organize and analyze data into a DE/BI system strategy to make be... Tip
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Data manager best practices: Dear Santa, I've been a good data management manager
T'was the night before Christmas, when all through the database, guest columnist Rick Sherman was asking Santa to make the world of data management a better place... Tip
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Data warehouse architecture: Extreme makeover
When it comes to data warehouse architecture, there's no need to reinvent the wheel, says guest columnist Rick Sherman. There's always something to be learned from your DW predecessors. Tip
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Data warehousing strategy: Is training necessary?
Project teams need training in order to keep their data warehousing strategy up-to-date. By refusing, says guest columnist Rick Sherman, companies could be undermining their data warehousing efforts. Tip
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Do people really understand data warehousing?
A data warehousing initiative shouldn't result in multiple data silos, but often that's what happens. The problem, says guest columnist Rick Sherman, is that DW is misunderstood. Tip
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MetaBase scripting for the Oracle data warehousing DBA
The OMB scripting language is a extension of TCL and is an attractive alternative to the do-it-yourself approach to ETL management for the Oracle data warehousing DBA. Tip
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SQL Server and business intelligence: Plan ahead
Here are some key planning concepts to keep in mind whenever you use SQL Server as a solution to a particular business problem. Tip
- See More: Tips on Data warehouse software
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Key issues to consider when building a data warehouse
There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert. Answer
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How semantic modeling will change data modeling in the future
Find out how semantic modeling is changing data modeling and what the future holds for the use of semantic technologies in data modeling. Answer
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The state of enterprise information management technology use in 2011
Get expert insight on whether there likely will be any strategic shifts during 2011 in how companies use enterprise information management technology. Answer
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Common enterprise information management strategy mistakes to avoid
Learn about four common mistakes that companies make when creating an enterprise information management strategy and starting an EIM program. Answer
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The best way to begin an enterprise information management program
Get expert advice on launching an enterprise information management program and creating an EIM strategy. Answer
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DBMS and data warehouse trends: the rise of data warehouse appliances
DBMS and data warehouse trends in 2011 include the rise of data warehouse appliances, according to one expert. Learn why appliances and semi-structured data are getting increased attention. Answer
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Six tips for improving data warehouse performance
Get six expert tips for improving data warehouse performance. Learn how database engines, SSDs and MOLAP cubes can affect your data warehouse performance. Answer
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How enterprise information management (EIM) differs from ECM
Learn how enterprise information management (EIM) differs from enterprise content management (ECM) and unstructured data management as a data management technology category. Answer
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Key components of enterprise information management programs
Learn which three components of enterprise information management programs are most important for a successful EIM strategy. Answer
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When to use a DBMS and the future of data warehousing data management
Find out when you should use a DBMS with your data warehouse, and learn about the future of data warehousing data management and current state of data warehouse architecture. Answer
- See More: Expert Advice on Data warehouse software
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big data analytics
Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information. Definition
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data warehouse appliance
A data warehouse appliance is an all-in-one “black box” solution optimized for data warehousing. The appliance consists of a server pre-built with operating system, storage, database management system (DBMS), and software. Definition
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OLAP (online analytical processing)
OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view. Definition
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extract, transform, load (ETL)
In managing databases, extract, transform, load (ETL) refers to three separate functions combined into a single programming tool. Definition
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tree structure
A tree structure is an algorithm for placing and locating files (called records or keys) in a database. The algorithm finds data by repeatedly making choices at decision points called nodes. A node can have as few as two branches (also called childre... Definition
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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Sacred cows of using data warehouse software – and how to tip them
In a video interview, consultant Evan Levy discusses what he calls the sacred cows of data warehousing and explains why such beliefs should be challenged within organizations. Video
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Leveraging today’s cloud data management technology and tools
Learn about cloud data management, including how to decide if a cloud database or SaaS data quality and cloud data integration tools are a good fit for your organization. Podcast
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Exec explains IBM's Information On Demand (IOD) initiative
Listen to IBM's Steve Mills discuss Big Blue's Information On Demand initiative and why he thinks it's in a better position to help customers than rival Oracle. Podcast
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Exploring key trends in data integration for data warehouses
ETL isn't the only way to load data warehouses. Find out about emerging trends and techniques that could affect your data warehousing and data integration strategies. Podcast
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Data warehousing five-year outlook: Technology trends and tips
Get data warehousing technology tips and market trends to consider for long-term planning, in this expert podcast. Podcast
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HP's business intelligence and data warehouse plans: A data discussion with HP BI VP Ben Barnes
Listen to a podcast with HP vice president, Ben Barnes discussing Hewlett-Packard's business intelligence strategy and HP Neoview data warehouse. Podcasts
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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
-
Why IT departments should consider a large data warehouse system
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Book excerpt
-
Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt
-
Data warehousing appliance business case must trump traditional tools
Justifying purchases of data warehouse appliances starts with showing that they're a better business fit than conventional systems are, analysts say. News
-
'Big data,' yes -- but enterprise data warehouse not dead yet
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction. News
-
'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News
-
TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage
-
'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors
-
Hadoop connector software hitches DBs to 'big data' clusters
Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases. News
-
Categorizing 'big data' processing systems
In the past, analytics applications typically were powered by relational databases. Now the options are more varied and less straightforward, says TechTarget's Wayne Eckerson. Analysis
- See More: All on Data warehouse software
About Data warehouse software
Before you buy or deploy data warehouse software, make sure you’re up to date on the latest product developments, market trends and expert advice involving data warehousing technology. This section includes news articles on data warehousing tools, data warehouse appliance devices and other data warehouse products. You’ll also find tips and guidance on developing a data warehouse strategy, evaluating data warehousing software, choosing data warehouse vendors and installing and managing enterprise data warehouse systems. Read case studies with examples of data warehousing best practices from experienced users at leading organizations, and learn about acquisitions, emerging technologies and other developments affecting the top data warehousing vendors.